Update README.md

README.md

@@ -65,11 +65,14 @@ task_ids:
 
 ### Dataset Summary
 
-[More Information Needed]
+> The digital collections of the SBB contain 153,942 digitized works from the time period of 1470 to 1945.
+
+> At the time of publication, 28,909 works have been OCR-processed resulting in 4,988,099 full-text pages.
+For each page with OCR text, the language has been determined by langid (Lui/Baldwin 2012).
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+This dataset is useful for training language models on historical/OCR'd text.
 
 ### Languages
 
@@ -96,15 +99,45 @@ The frequency of the top ten languages in the dataset is shown below:
 
 ### Data Instances
 
-[More Information Needed]
+Each example represents a single page of OCR'd text. 
+
+A single example of the dataset is as follows:
+
+```python
+{'file name': '00000045.xml',
+ 'language': 'fr',
+ 'language_confidence': 0.9999999999910871,
+ 'ppn': '646426230',
+ 'text': 'Fig. 156 Tirant les sorts au moyen de la divination de Wen-wang',
+ 'wc': [0.6125000119,
+  0.4799999893,
+  0.7916666865,
+  0.8066666722,
+  0.7720000148,
+  0.5849999785,
+  0.7580000162,
+  0.9200000167,
+  0.6449999809,
+  0.6060000062,
+  0.6549999714,
+  0.6362500191]}
+  ```
+  
 
 ### Data Fields
 
+- 'file name': filename of the original XML file 
+- 'text': OCR'd text for that page of the item
+- 'wc': the word confidence for each token predicted by the OCR engine 
+- 'ppn': 'Pica production numbers' an internal ID used by the library.  See [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2702544.svg)](https://doi.org/10.5281/zenodo.2702544) for more details. 
+ 'language': language predicted by `langid.py` (see above for more details) 
+ -'language_confidence': confidence score given by `langid.py`
+
 [More Information Needed]
 
 ### Data Splits
 
-[More Information Needed]
+This dataset contains only a single split `train`. 
 
 ## Dataset Creation